Multi-level Regression Analysis

2024/2025

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент социологии

Статус:

Курс по выбору

Когда читается:

1-й курс, 4 модуль

Course Syllabus

Abstract

Analysts have to deal with hierarchical data structures increasingly more often. In particular, one encounters them in the context of cross - country comparisons. Classic regression methods applied to such data result in biased estimates. There are several ways to deal with this problem. One popular method is the multilevel regression. This course covers the basic tenets of this method with applications to international survey research data. The course assumes the student's knowledge of linear and binary logistic regression modeling. The workload of the course includes participation and preparation for classroom activities, use of open datasets for analyzing individual and country effects in a cross-country perspective, and an individual project in essay form that could be developed into a journal article.